Triple
T15187752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayen-Koblenz |
E362920
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Cochem-Zell |
E1075159
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cochem-Zell | Statement: [Mayen-Koblenz, borders, Cochem-Zell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cochem-Zell Context triple: [Mayen-Koblenz, borders, Cochem-Zell]
-
A.
Cochem-Zell district
chosen
Cochem-Zell district is a rural administrative district in the state of Rhineland-Palatinate in western Germany, known for its Moselle River landscapes, vineyards, and historic towns.
-
B.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Odelzhausen
Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
-
E.
Burbach
Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067995fc8190b048f15086bd42f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec895b59c81908a09f8393a35aa13 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.